The modernization of wastewater and stormwater infrastructure is becoming a defining challenge for rapidly urbanizing cities. Traditional manhole monitoring—reliant on manual inspections—remains inefficient, costly, and prone to failure, often leading to unexpected overflows and environmental hazards. Smart manhole monitoring systems, powered by advanced sensors and LPWAN connectivity, are transforming this paradigm. By enabling continuous, real-time visibility into undergro

LPWAN technologies such as LoRaWAN, NB-IoT, and LTE-M are transforming industrial monitoring by making large-scale IoT sensor networks practical, scalable, and cost-effective. This article explains how LPWAN supports long-range connectivity, low power consumption, and wide-area deployment for water infrastructure, HVAC, utilities, and remote industrial assets.

Choosing between LoRaWAN and NB-IoT for industrial monitoring is one of the most important design decisions in any Industrial IoT deployment. This article compares both LPWAN technologies across coverage, power consumption, network ownership, deployment cost, battery life, and real-world use cases in water infrastructure, utilities, HVAC, and remote asset monitoring.

Dive into the crystal-clear world of wireless turbidity sensors! Discover how these cutting-edge sensors enhance water quality monitoring!

Revolutionize fuel management with Ellenex’s diesel level sensors. Featuring 5-minute pre-configured installation , our hydrostatic sensors provide near real-time updates for remote tanks. Whether using LoRaWAN (PLS2-L) or NB-IoT (PLS2-N) , gain global visibility and predictive alerts through our software. Eliminate manual errors and ensure seamless operation with effortless monitoring. Upgrade today for efficiency.

Groundwater is a vital but depleting resource. Monitoring 2-inch wells has long been a challenge due to size and cost constraints. Ellenex introduces the PLM2 series—the 'Tiny Tech Titan.' With a 15.8mm sensor head, it fits narrow wells perfectly. Available in PLM2-N and PLM2-L, it offers 40% lower costs than alternatives. From aquifers in Germany to sites in Canada, these sensors deliver real-time data for precision water stewardship.

Maintaining positive pressure is fundamental to contamination control in clean rooms across pharmaceuticals, semiconductor manufacturing, and healthcare. Wireless differential pressure sensors using LoRaWAN and cellular technologies (LTE-M and NB-IoT) provide a modern, low-power, and scalable approach to continuous pressure monitoring. By delivering real-time data, remote visibility, and automated alerts, these IoT solutions help facilities ensure regulatory compliance, prote

Revolutionize remote diesel generator monitoring with Ellenex pressure sensors. By utilizing innovative tank outlet connections, these sensors overcome spatial limits in compact tanks where traditional probes fail. Supporting LoRaWAN, NB-IoT, and LTE-M, this solution ensures robust data transmission from isolated locations. Integrated with Ellenex’s Tank Level Monitoring and Delivery Management frameworks, it delivers real-time visibility and proactive alerts for operational

In livestock farming, water is the lifeblood of the operation. Advanced monitoring systems are revolutionizing asset management by shifting from manual checks to real-time digital oversight. By utilizing a submersible level sensor in tanks and troughs, producers can track precise water volumes and flow rates. These IoT tools allow farmers to prevent dehydration crises, detect leaks instantly, and optimize grazing, turning environmental unpredictability into a data-driven stra

As water scarcity and climate variability intensify across Europe, particularly in Germany where nearly 70% of drinking water depends on groundwater, the need for intelligent water resource management has never been more critical. This case study explores how advanced Industrial IoT (IIoT) technologies are transforming groundwater level monitoring in underground bores, enabling municipalities and water authorities to shift from reactive operations to data-driven, predictive m